Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: Gliomas are increasingly understood as disorders of distributed brain networks rather than focal lesions confined within radiographic margins. Emerging evidence suggests that glioma cells interact with neural circuits, alter structural and functional connectivity, and contribute to cognitive, neuropsychiatric, and functional decline through network-level mechanisms. METHODS: This struc...
Immune cell engineering has emerged as a transformative frontier in medicine, reshaping therapeutic strategies for cancer, autoimmunity and infectious diseases. Advances in delivery technologies such as viral vectors, lipid nanoparticles and polymer-based systems, together with precise gene editing tools including mRNA platforms and CRISPR, have enabled the efficient programming of immune cells wi...
The meibomian gland was anatomically described in 1666, but its central role in ocular surface disease emerged only after tear-film physiology, in viv...
BACKGROUND: Parkinson's disease (PD) exhibits substantial heterogeneity in clinical presentation and longitudinal progression, complicating prognosis,...
OBJECTIVE: Gallbladder cancer (GBC) is a rare gastrointestinal malignancy with a global 5-year survival rate of less than 5%. Early diagnosis is chall...
PURPOSE: Multimodal large language models (LLMs) offer emerging capabilities in medical image interpretation; however, their efficacy in orthopedic on...
The vast combinatorial space of metal-organic frameworks (MOFs) has led to their widespread consideration across diverse application areas. That said,...
PURPOSE: Computational pathology has emerged as an attractive option for improving risk stratification in prostate cancer (PCa), but most approaches e...
BACKGROUND: Telomeres, located at chromosome ends, regulate cell division and maintain genomic stability. Telomere-related genes (TRGs) play essential...
PURPOSE OF REVIEW: This review aims to synthesize and critically appraise the most impactful advances in radiotherapy (RT) for soft tissue sarcomas (S...
BACKGROUND: Ovarian cancer (OC) is a highly aggressive malignancy with poor prognosis and limited response to immunotherapy. Ribosomal stress, a cellu...
BACKGROUND: Breast cancer is the most frequently diagnosed cancer among women. Accurate diagnosis and effective management rely heavily on high-qualit...
The purpose of this investigation is to assess the outcome of Oxytactic microorganism in chemical reactive flow of TiO2 + GO/water based hybrid nanofl...
Distant metastasis (DM) is the primary driver of cancer-related mortality, and its clinical prediction remains challenging due to the lack of robust b...
BACKGROUND: Ambient artificial intelligence scribes are increasingly integrated into electronic health records to reduce documentation burden, but lim...
The OncotypeDX 21-gene assay guides adjuvant chemotherapy decisions in early-stage, hormone receptor-positive, HER2-negative breast cancer, but cost a...
The tumor microenvironment (TME) contains important morphological and molecular cues that help determine prognosis and therapeutic responses. Deep lea...
Breast cancer remains a major global health concern and is the leading cause of cancer-related deaths among women worldwide. It is estimated that by 2...
Lung cancer remains the leading cause of cancer-related mortality worldwide, with poor survival rates due to late-stage detection. Current low-dose co...
First-in-class (FIC) oncology drugs-defined by their novel mechanisms of action or targeting of previously unaddressed molecular targets-have emerged ...